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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

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Interval Observer-Based Fault Isolation for Discrete-Time Fuzzy Interconnected Systems With Unknown Interconnections.

Zhi-Hui Zhang, Guang-Hong Yang

IEEE Transactions on Cybernetics

|June 11, 2017

Summary

This study presents a novel fault isolation method for discrete-time fuzzy interconnected systems. The approach enhances observer performance and reduces conservatism for improved fault detection in complex systems.

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Area of Science:

Control Systems Engineering
Fuzzy Systems
Fault Diagnosis

Background:

Interconnected systems present challenges in fault isolation due to unknown interconnections.
Existing fault diagnosis methods may lack precision or be overly conservative.

Purpose of the Study:

To develop a robust fault isolation interval observer for discrete-time fuzzy interconnected systems.
To enhance the performance and reduce conservatism in fault diagnosis.

Main Methods:

Construction of fault isolation interval observers considering interconnection bounds and disturbances.
Application of l1 and H∞ performances for residual interval tightness and fault sensitivity.
Utilization of piecewise Lyapunov functions and dilated linear matrix inequalities for observer design.

Main Results:

The proposed observer design conditions are less conservative than existing methods.
Effective fault isolation is achieved by checking for zero exclusion in residual intervals.
Simulation results demonstrate the method's effectiveness and superiority.

Conclusions:

The developed fault isolation interval observer provides a less conservative and more effective approach for discrete-time fuzzy interconnected systems.
The method offers improved performance in terms of residual interval tightness and fault sensitivity.
This work contributes to advancing fault diagnosis techniques in complex networked systems.